Jiajie Yu

Papers

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About

Jiajie Yu is a researcher advancing the frontier of human-robot interaction, with a focus on safety and social intelligence in autonomous systems. His work spans multi-sensor perception and socially adaptive navigation, addressing critical challenges in both industrial and public environments. In his highly cited 2022 study on "Active Pedestrian Detection for Excavator Robots based on Multi-Sensor Fusion," Yu tackled a pressing safety issue in construction automation, demonstrating how sensor integration can protect workers around heavy machinery. Building on this foundation, his 2024 paper on "Socially Adaptive Path Planning Based on Generative Adversarial Network" represents a significant leap forward, employing GANs to enable mobile robots to navigate crowded spaces in a manner that respects social norms and pedestrian comfort. With over 10 citations across his key works, Yu's research is gaining recognition for its practical impact on robot safety and acceptance. His contributions are particularly notable for bridging the gap between industrial robotics and socially-aware AI, offering solutions that are as concerned with human psychological comfort as with operational efficiency.